Google Cloud Platform (Google Cloud Platform) Engineer (Need local candidates )

  • Dallas, TX
  • Posted 13 hours ago | Updated 11 hours ago

Overview

On Site
Depends on Experience
Contract - W2

Skills

GCP
ETL/ELT
Dataflow
Cloud Run
Big Query
data ingestion
data modeling
Python
Pandas
Docker
Pyspark
Kubernetes
GitHub
Hadoop
Gen AI
LLM
data lakes
Cloud Composer
Cloud Storage

Job Details

Title:- Google Cloud Platform (Google Cloud Platform)  Engineer

Location:- Dallas TX, Tampa FL and NJ

Hybrid (3 Days from Office)

Experience: 7+ years

Design:

Leading the design and development of end-to-end ETL (Extract, Transform, Load) data pipelines focused on Google Cloud Platform. 

 

Planning, configuration, and management of infrastructure and services on Google Cloud Platform. 

 

Architecting cloud-native augmented analytics solutions using BigQuery, Looker, Vertex AI, and other Google Cloud technologies for financial and telecom business intelligence. 

 

Implementing and maintaining data ingestion, curation, and distribution with tools like Pub/Sub, Dataflow, and Spanner. 

 

Partnering with data engineers, scientists, architects, and business stakeholders to translate data requirements into technical solutions. 

 

Developing and enforcing data governance policies, data quality standards, and security protocols within the Google Cloud Platform environment. 

 

Required Skills & Experience

Expertise: (must)

Expert-level proficiency in Google Cloud Platform services such as BigQuery, Dataflow, Cloud Composer, Cloud Storage, and Vertex AI. 

 

(must)

Strong proficiency in SQL, Python, and potentially Java or other big data frameworks. 

 

(must)

Experience with tools for data warehousing, data lakes, real-time streaming, and pipeline orchestration. 

 

(good to have)

Proven experience delivering Gen AI or Large Language Model-powered applications. 

 

(must)

Familiarity with Hadoop, Spark, and other big data ecosystems is beneficial. 

 

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